Explore 1280+ AI Developers (page 8)
Cyrus Radfar / V1.co
Cyrus Radfar builds developer tools focused on local-first, privacy-respecting workflows. UNF* is his flagship product, created to solve the real-world problem of AI agents overwriting or deleting files without a safety net. The project is affiliated with V1.co and is distributed as free, open-distribution software with no telemetry or cloud dependency.
Amplifying
Amplifying builds evaluation frameworks for AI judgment, measuring what models recommend rather than just what they get right. The studio runs systematic, large-scale benchmark studies on AI subjective decision-making — covering developer tool choices, product recommendations, and code generation patterns. Amplifying publishes open research, raw datasets, and vendor intelligence reports to make AI behavior transparent and measurable.
AI Shortcut Lab
AI Shortcut Lab builds practical AI resources for businesses and solo founders, offering automation blueprints, prompt libraries, and curated tool reviews. The platform focuses on making AI implementation accessible and effective for organizations of all sizes. It covers key business functions including lead generation, content creation, social media, customer support, and operations automation. AI Shortcut Lab helps users cut through complexity and apply AI strategies that deliver measurable results.
CMU / Zico Kolter
Zico Kolter is a professor at Carnegie Mellon University who teaches and researches machine learning and AI systems. He develops open educational resources including this free online course on modern AI, making CMU-quality instruction accessible to learners worldwide. The course reflects CMU's leadership in AI research and education, with content grounded in practical implementation of LLMs and machine learning methods.
GramEditor
GramEditor builds Gram, a privacy-first, open-source hard fork of the Zed code editor. The project removes all AI integrations, telemetry, and proprietary server components from Zed, delivering a fast and highly configurable editor that respects user freedom. Gram ships with a built-in debugger, documentation viewer, and extensive language support out of the box. The project is hosted on Codeberg and welcomes community contributions under an open-source license.
Awesome Claude
Awesome Claude builds and maintains a community-driven directory of prompts, skills, and resources for Anthropic's Claude AI. The project is open-source and hosted on GitHub, enabling transparent contributions from the broader Claude user community. It focuses on helping users discover and share the best techniques for working with Claude across a variety of tasks.
Proliferate
Proliferate builds an open source background agent platform that puts engineering organizations on autopilot. The platform creates mirrored cloud sandboxes and connects to tools like GitHub, Sentry, Linear, and Slack so agents can autonomously investigate issues, write code, and open pull requests. Proliferate enables teams of every function — engineering, product, design, and marketing — to ship faster without manual handoffs.
Bruin Data Limited
Bruin Data Limited builds an end-to-end open-source data platform that makes world-class data tooling accessible to every data team globally. The company develops the Bruin CLI, an AI-powered Slack data analyst, and supporting tools like ingestr for seamless data movement. Bruin combines pipeline orchestration, data quality, lineage, and AI-driven analytics in a single platform. The team focuses on developer-friendly, Git-native workflows with enterprise-grade security and compliance.
Steve Yegge
Steve Yegge is a well-known software engineer and blogger who has worked at companies including Google and Amazon. He builds open-source developer tools and frameworks, with a focus on AI-assisted coding and IDE tooling. Beads reflects his interest in extensible plugin architectures for AI coding assistants.
Agentic Fabriq
Agentic Fabriq builds the infrastructure layer for the agent-first future, enabling secure, scalable, and composable AI agent ecosystems. Founded by MIT researchers Paulina Xu (AI + Physics) and Matthew Xu (AI + Math), the team brings deep research backgrounds from MIT CSAIL, MIT Haystack Observatory, and MIT FutureTech. Fabriq differentiates through enterprise-grade permissioning, per-user agent identity, and least-privilege defaults designed for production multi-agent deployments.